Quality Control Analytics for Colombian Coffee Growers

—

Graham Troup

Online Analytical Processing is a powerful way of revealing trends and stories in data. The aim of this project was to apply OLAP principles and techniques to reveal stories about factors affecting coffee quality. The project proves that it is possible to use entirely open source technologies to create a web-based system for querying dimensional data. This makes business intelligence and data analysis more accessible to the end user.